Knowledge vs Reasoning in Clinical NLI Do larger language models naturally learn to reason, or do they mostly get better at recalling facts and mimicking patterns? A new study introduces a Clinical Trial Natural Language Inference benchmar... Benchmark Causal Attribution Chain of Thought Clinical NLI Compositional Grounding Epistemic Verification GKMRV Knowledge Large Language Models Medical AI Model Evaluation Neuro-symbolic AI Reasoning Risk State Abstraction
Pruning LLMs With Regional Gradients: Inside Wanda++ Large language models are hard to deploy because memory and latency balloon with scale. In Findings of the Association for Computational Linguistics: ACL 2025, Yifan Yang and colleagues from the Unive... AWQ Quantization Fine Tuning Large Language Models LLaMA Model Compression Model Pruning OpenLLaMA Regional Gradients Semi-Structured Sparsity Sparsity TensorRT Wanda++
PH-LLM Turns Wearable Data into Practical Sleep and Fitness Coaching Wearables now collect rich sleep and activity data, but most users still struggle to translate those numbers into helpful actions. A new study in Nature Medicine presents the Personal Health Lar... AI healthcare Artificial Intelligence Large Language Models